• 제목/요약/키워드: service quality estimation

검색결과 189건 처리시간 0.025초

Modeling of Emissions from Open Biomass Burning in Asia Using the BlueSky Framework

  • Choi, Ki-Chul;Woo, Jung-Hun;Kim, Hyeon Kook;Choi, Jieun;Eum, Jeong-Hee;Baek, Bok H.
    • Asian Journal of Atmospheric Environment
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    • 제7권1호
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    • pp.25-37
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    • 2013
  • Open biomass burning (excluding biofuels) is an important contributor to air pollution in the Asian region. Estimation of emissions from fires, however, has been problematic, primarily because of uncertainty in the size and location of sources and in their temporal and spatial variability. Hence, more comprehensive tools to estimate wildfire emissions and that can characterize their temporal and spatial variability are needed. Furthermore, an emission processing system that can generate speciated, gridded, and temporally allocated emissions is needed to support air-quality modeling studies over Asia. For these reasons, a biomass-burning emissions modeling system based on satellite imagery was developed to better account for the spatial and temporal distributions of emissions. The BlueSky Framework, which was developed by the USDA Forest Service and US EPA, was used to develop the Asian biomass-burning emissions modeling system. The sub-models used for this study were the Fuel Characteristic Classification System (FCCS), CONSUME, and the Emissions Production Model (EPM). Our domain covers not only Asia but also Siberia and part of central Asia to assess the large boreal fires in the region. The MODIS fire products and vegetation map were used in this study. Using the developed modeling system, biomass-burning emissions were estimated during April and July 2008, and the results were compared with previous studies. Our results show good to fair agreement with those of GFEDv3 for most regions, ranging from 9.7 % in East Asia to 52% in Siberia. The SMOKE modeling system was combined with this system to generate three-dimensional model-ready emissions employing the fire-plume rise algorithm. This study suggests a practicable and maintainable methodology for supporting Asian air-quality modeling studies and to help understand the impact of air-pollutant emissions on Asian air quality.

ATSC-M/H 기반의 융합형 3DTV를 위한 양안시차 고속 추정 알고리즘 (Fast Algorithm for Disparity Estimation in ATSC-M/H based Hybrid 3DTV)

  • 이동희;김성훈;이주영;강동욱;정경훈
    • 방송공학회논문지
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    • 제19권4호
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    • pp.521-532
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    • 2014
  • 3D 방송시스템에 대한 다양한 연구 가운데 ATSC-M/H 기반의 융합형 3DTV 방식은 HD 화질의 좌영상과 모바일 화질의 우영상을 결합하는 서비스 호환 3DTV 시스템으로서 이 방식에서는 좌우 영상 사이에 상대적인 화질 차이가 존재하며 이를 해결하기 위해 조건부 대체 알고리즘(Conditional Replenishment Algorithm)이 제안되었다. 조건부 대체 알고리즘에서는 좌우영상 사이의 양안시차 벡터를 추정하고 양안시차 보상된 HD 좌영상과 단순 확장된 모바일 우영상을 선택적으로 사용함으로써 우영상의 화질을 개선한다. 그러나 이 알고리즘은 여러 계층의 양안시차를 추정하는 과정에서 매우 많은 계산이 필요하기 때문에 이를 실제적으로 구현하기 위해서는 고속 알고리즘의 개발이 요구된다. 본 논문에서는 양안시차 벡터의 특성을 고려하여 전역 탐색 대신에 SDSP(Small Diamond Search Pattern) 탐색 방법을 사용하고 탐색의 초기위치를 예측하는 방법을 제안하며 특정 조건 하에서 양안시차 벡터 추정을 생략하는 조기종료 모드를 함께 적용함으로써 복원 영상의 화질을 유지하면서도 조건부 대체 알고리즘의 속도를 향상시키는 기법을 제안하고 모의실험을 통해 이의 성능을 검증하였다.

버스정보시스템(BIS) 정류장도착예정시간 시스템오차 연구 (Systematic Error Term Analysis on Bus Arrival Time Estimation)

  • 김승일;김영찬;이청원
    • 대한교통학회지
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    • 제24권4호
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    • pp.117-127
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    • 2006
  • 국내외 각급 도시에서 시행중인 실시간 버스정보시스템(BIS)에 있어 버스도착예정시간 정보의 정확도는 시스템에 대한 가치평가의 가장 중요한 요소 중 하나이다. FTMS나 RTMS에서의 VMS정보와는 달리 개별버스의 도착예정시간 정보의 경우는, 가공 및 제공주기 그리고 시스템의 가공과정에서 불가피한 오차가 발생한다. 이를 '시스템 오차'라 규정하고 이들 오차의 평균값을 통계적 기법으로 도출하여, 버스도착예정시간 정보에 보정하는 방안을 제시하였다. 또한 검증을 위해 'A'시의 버스정보시스템에 동 기법에 따라 보정을 수행한 결과, 보정전보다 오차율이 23%감소한 것으로 나타났다. 이처럼 버스도착예정시간 정보의 정확도의 제고를 위해서는 시스템오차를 낮추는 방안이 적용해야 하는데 특히, 위치정보수집 빈도를 높이고, GPS 음영지역 해소 등 분산 값에 영향을 미치는 결측을 줄이기 위한 노력을 강구해야 한다.

한방의료 품질 향상을 위한 신뢰구현 체계구축 연구 (A Research on Trust Realization Strategies for Oriental Medical Quality Improvement)

  • 김현지;김소연;지영승;남승규;김정호;김영일
    • Journal of Acupuncture Research
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    • 제31권1호
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    • pp.75-93
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    • 2014
  • Objectives : This study was designed to establish medical trust realization system by finding factors influential to it using questionnaire. Methods : 277 subjects were participated in this study. After a treatment, we conducted a survey from April 1st to October 31th about medical service perception index, medical trust index, patient satisfaction index, patient reliability index, patient flow degree index, recall intension index, and hospital image index. To evaluate the influence of medical service perception with other 6 indexes, we statistically made regression analysis of the results through the survey. Results : By the results of the analysis, evaluation of hospital image influenced all 6 indexes. The systemicity of treatment process had an effect on 5 indexes except for the flow degree of patients. The humanity of medical team brought out the estimation of 4 indexes except for the patient flow degree and hospital image. The empathic ability of doctor and appropriacy of medical costs hold the next rank influencing 3 indexes. It reached the conclusion that the systemicity of medical team tend to determine the medical trust and patient reliability. The expertise, professional skill of doctor, the fault, commercial application, fame of medical team, the speed of treatment process, the newest and clean medical facility affected each one index. Conclusions : Korean medicine should find a way to consider the mind of patients for improving the medical quality through trust realization system, keeping up with times. As a result of this research, we can find out important causes which influence the trustful medical system. From now on, we should apply this result to actual treatment of psychology customized system. Also, more simple and clear questionnaire was organized through this research, it can be used to forward research to apprehend patient mentality more conveniently.

프레임율 변환을 위한 H.264코덱의 움직임 벡터 분석 (Analyzing of Motion Vector in H.264 Codec For Frame Rate Up Conversion)

  • 김상철;정현종;송인선;낭종호
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(A)
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    • pp.164-166
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    • 2012
  • 최근 스마트 기기의 보급과 무선 인터넷망의 보급으로 언제 어디에서나 비디오를 시청할 수 있다. 하지만 무선 인터넷 망의 품질이 안좋을 경우 영상의 QoS(Quality of Service)를 낮춰 프레임을 스킵하여 전송하게 된다. 이 때 FRUC(Frame Rate Up Conversion)기술을 적용한다면 원본의 프레임 레이트를 확보할 수 있어 QoS를 높일 것으로 기대한다. FRUC에서 MV(Motion Vector)추정시에 연산량이 매우 높아서 스마트 기기에 적용하는 것이 어렵지만 H.264코덱으로 인코딩된 동영상은 자체적으로 MV정보를 갖고 있기 때문에 이 MV를 FRUC에 적용할 수 있다면 FRUC의 연산량을 줄일 수 있을 것이다. 이를 위해서 H.264에 적용된 ME(Motion Estimation)와 FRUC에 적용된 ME의 차이를 고려하여 H.264코덱의 MV가 유용한지 분석하는 것이 선행돼야 한다. 본 논문에서는 H.264 MV와 FRUC의 MV의 차이를 분석하고 유용성을 판단하는 실험을 통해 H.264로 인코딩 된 비디오의 MV중 상당수가 FRUC에 적합함을 확인했다.

버스정보 결측시 검지기 자료를 통한 버스 통행시간의 산정 (Estimation of Bus Travel Time Using Detector for in case of Missed Bus Information)

  • 손영태;김원기
    • 한국ITS학회 논문지
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    • 제4권3호
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    • pp.51-59
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    • 2005
  • 버스의 서비스 질을 향상시키기 위해서 시행중인 버스정보시스템은 버스의 도착 예정시간을 산정하기 위해서 일정주기동안 통행한 버스의 데이터를 바탕으로 신경망 모형, 칼만필터링, 이동평균법등의 알고리즘을 사용하여 예측한다. 하지만 버스의 데이터 결측으로 인하여 버스의 도착 예정 시간을 산정하기 어려울 때는 버스의 시간대별 패턴 데이터를 구축하여 이를 활용하지만, 일반적으로 오차의 범위가 크다. 따라서 본 연구에서는 도착 예정 시간을 산정하기 위해 링크에 설치된 대기행렬 검지기 자료를 이용하여 버스의 링크통행 시간을 산정한다. CORSIM Version 5.1 시뮬레이션 패키지를 이용하여 검지기 지점 속도를 보정하여 검지기 지점속도를 바탕으로 버스의 통행시간을 산정한다.

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The Study of Video Transcoding and Streaming System Based on Prediction Period

  • Park, Seong-Ho;Kim, Sung-Min;Lee, Hwa-Sei
    • Journal of information and communication convergence engineering
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    • 제5권4호
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    • pp.339-345
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    • 2007
  • Video transcoding is a technique used to convert a compressed input video stream with an arbitrary format, size, and bitrate into a different attribute video stream different attributes to provide a efficient video streaming service for the customers is dispersed in the heterogeneous networks. Specifically, frames deletion occur in a transcoding scheme that exploits the adjustment of frame rate, and at this time, the loss in temporal relation among frames due to frame deletion is compensated for the prediction of motion estimation by reusing motion vectors in the would-be deleted frames. But the processing time for transcoding don't have an improvement as much as our expectation because transcoding is done only within the transcoder. So in this paper, we propose a new transcoding algorithm based on prediction period to improve transcoding-related processing time. For this, we also modify the existing encoder so as to adjust dynamically frame rate based on the prediction period and deletion period of frames. To check how the proposed algorithm works nicely, we implement a video streaming system with the new transcoder and encoder to which it is applied. The result of the performance test shows that the streaming system with proposed algorithm improve 60% above in processing time and also PSNR have a good performance while the quality of pictures is preserved.

이중송수관로를 이용한 안정적인 송수를 위한 설계인자에 관한 연구 (A research on the design parameters for a double-transmission main system for sustainable water supply)

  • 현인환;홍준의;김두일
    • 상하수도학회지
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    • 제27권1호
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    • pp.129-138
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    • 2013
  • Water interruption is often caused by a rupture in the branch-like singular pipeline. This will cause critical complaints from household and may decrease public service quality. As an alternative of singular pipeline, additional parallel pipeline could be installed for sustainable water supply. This system is called double pipeline system and able to be utilized for water transmission line between treatment plant and distribution reservoir. Construction of double pipeline was thought to increase capital cost, which can be an issue to waterworks authorities. Reducing capital cost was possible by means of installing connectors between two parallel pipelines because of reduced diameter of each pipe. To obtain optimal design condition for connectors, it was necessary to compare water pressure according to accident location, to investigate flow according to connection pipe spacing, connection pipe diameter, and aging of pipe. Reliable and economical connection layouts were determined based on these results. The cost estimation for each design condition was carried out. Cost was approximately reduced by 20 ~ 30 % compared to the double pipeline without connections. In addition to this, connection between double pipelines could expect extra benefits for maintenance since the pipe could be repaired and rehabilitated without interruption.

Matrix completion based adaptive sampling for measuring network delay with online support

  • Meng, Wei;Li, Laichun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권7호
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    • pp.3057-3075
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    • 2020
  • End-to-end network delay plays an vital role in distributed services. This delay is used to measure QoS (Quality-of-Service). It would be beneficial to know all node-pair delay information, but unfortunately it is not feasible in practice because the use of active probing will cause a quadratic growth in overhead. Alternatively, using the measured network delay to estimate the unknown network delay is an economical method. In this paper, we adopt the state-of-the-art matrix completion technology to better estimate the network delay from limited measurements. Although the number of measurements required for an exact matrix completion is theoretically bounded, it is practically less helpful. Therefore, we propose an online adaptive sampling algorithm to measure network delay in which statistical leverage scores are used to select potential matrix elements. The basic principle behind is to sample the elements with larger leverage scores to keep the traits of important rows or columns in the matrix. The amount of samples is adaptively decided by a proposed stopping condition. Simulation results based on real delay matrix show that compared with the traditional sampling algorithm, our proposed sampling algorithm can provide better performance (smaller estimation error and less convergence pressure) at a lower cost (fewer samples and shorter processing time).

Acoustic Signal based Optimal Route Selection Problem: Performance Comparison of Multi-Attribute Decision Making methods

  • Borkar, Prashant;Sarode, M.V.;Malik, L. G.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권2호
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    • pp.647-669
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    • 2016
  • Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.